muse-spark-1.1

Muse Spark 1.1 is Meta’s latest multimodal reasoning engine, specifically architected to power autonomous agentic workflows. Unlike standard LLMs that primarily process text, this model handles a diverse input stream including video, audio, images, and complex PDF documents. For developers, the standout feature is the 1-million-token context window, which allows for deep reasoning over massive datasets or long-form video content without losing coherence. While many models struggle with temporal reasoning in video or structured data extraction from large documents, Muse Spark is optimized for these high-density tasks. It is designed to act as the 'brain' for agents that need to observe an environment through multiple senses and execute logic-driven text outputs. Whether you are building automated document auditors, visual QA systems, or complex multi-step reasoning agents, this model provides the high-capacity context required for production-grade autonomy.